Hello friends of $SPT, Friends of $HIVE and all others,
I already have created several statistics for Hive based token. But one very important statistic was missing:
$SPT - The Splinterlands token.
So I started playing Splinterlands to understand a little bit the system - and I started collecting the SPT token data.
Now I can present the stats at least for the last three days.
In the future I'll try to do it weekly on Friday noon, for the last 7 days.
So, for the first time, here are the:
SPT Statistics for the last week:
The timeframe is from 2021/09/14 - 2021/09/17.
Bought $SPT By Time
This figure shows who has bought how many $SPT at which time:
Top $SPT Buyers and $HIVE Sellers
The inside of the circle shows the buyers of $SPT, ordered by $HIVE they have spent. The outside shows the recipients of that $HIVE (sellers of $SPT):
Commulated Amount Of Bought $SPT Per Person
This figure shows the top 10 $SPT buyers, how much they got and how much $HIVE they spend for this. It is sorted by $HIVE, that was spent:
Table Of Top 20 $SPT Buyers
This table shows the top 20 buyers of $SPT sorted by the $HIVE, they have spent:
buyer.keyword: Descending | Sold $HIVE | Bought $SPT | Avg. Price |
---|---|---|---|
@fedesox | 1758.6205799210002 | 92918.64650886133 | 0.01950597155251001 |
@granddaddies | 1577.6595619537402 | 100716.38364283554 | 0.015756500272178335 |
@ahmetay | 1529.7324562060878 | 91855.89151824429 | 0.0173090074528405 |
@pi-trader | 1041.0824181944772 | 66054.73367857002 | 0.015659720078110693 |
@easy707 | 501.58500261232257 | 28099.99986720085 | 0.01785000041127205 |
@anadolu | 356.0372951477766 | 22265.3369140625 | 0.01622111350297928 |
@dynamicrypto | 340.1134802775341 | 18663.306683043018 | 0.01810318443246863 |
@zugdaze | 258.1483474597335 | 14169.000046491623 | 0.018383044606217973 |
@enm1 | 209.80298614501953 | 13968.241455078125 | 0.01501999981701374 |
@rockaholik | 89.08097743988037 | 5013 | 0.017769995145499706 |
@crypto9er | 78.23069915175438 | 4409.999942779541 | 0.017527996376156808 |
@jongolson | 64.33489319542423 | 3499.999991700053 | 0.018583746161311865 |
@shirow-x | 53.95199012756348 | 2999 | 0.0179899949580431 |
@captainquack22 | 45.30821420252323 | 2317.581325531006 | 0.018933316692709923 |
@lqss64 | 44.788177728652954 | 2917.8784942626953 | 0.01584999985061586 |
@dardrey | 41.321110248565674 | 2740 | 0.015070050023496151 |
@cryptoram420 | 38.2019027043134 | 2200.6805589199066 | 0.01734599955379963 |
@hypnoticpilot | 26.277435302734375 | 1684.4510498046875 | 0.015599999576807022 |
@followjohngalt | 23.44499969482422 | 1500 | 0.015629999339580536 |
@kitsuki | 23.124199867248535 | 1510 | 0.015481666506578525 |
@other | 179.8704768276948 | 10373.216465275735 | 0.017256149110641886 |
Commulated Amount Of Sold $SPT Per Person
This figure shows the top 10 $SPT Sellers, how much they sold and how much $HIVE they got for this, sorted by $HIVE:
Table Of Top 20 $SPT Sellers
This table shows the top 20 sellers of $SPT Sorted by the $HIVE, they have got:
seller.keyword: Descending | Earned $HIVE | Sold $SPT | Avg. Price |
---|---|---|---|
@jrvacation | 1633.96962839365 | 99999.99864196777 | 0.016375852127869923 |
@michealb | 609.5223083496094 | 38000 | 0.016040065325796604 |
@ahmetay | 573.7283971309662 | 32143.26605987549 | 0.01786555577483442 |
@enm1 | 526.4846506118774 | 28168.24070739746 | 0.018685000017285347 |
@abh12345 | 470.90952348709106 | 25822.032958984375 | 0.017541291075758636 |
@anadolu | 321.6421203613281 | 17870 | 0.01799900084733963 |
@laundrywoman | 318.27014864236116 | 17460.44736433029 | 0.018271651739875477 |
@felipejoys | 314.7227776614018 | 20432.999994263053 | 0.015397277237339453 |
@monkeydlai | 230.8499984741211 | 12825 | 0.017999999225139618 |
@cryptomancer | 194.65458297729492 | 12959.69140625 | 0.015020004939287901 |
@lifeskills-tv | 191.26550269126892 | 12339.614974975586 | 0.015500064939260483 |
@dynamicrypto | 170.27728229649074 | 11048.906006117351 | 0.01569293811917305 |
@abrockman | 140.40046882629395 | 8000 | 0.01706673639516036 |
@kobusu | 114.80003195255995 | 6500.000061035156 | 0.017725002020597458 |
@rentmoney | 111.44633701536804 | 6165.999969810247 | 0.018059333165486652 |
@unitqm | 111.33320999145508 | 7027.116455078125 | 0.015803436748683453 |
@chubb149 | 95.7235221862793 | 5802 | 0.016514141857624055 |
@polessins | 92.80069732666016 | 5800 | 0.01600011996924877 |
@freeztag | 90.6602087020874 | 4965.7353515625 | 0.018440072238445283 |
@costanza | 90.0607883259654 | 5086.710539340973 | 0.01762499986216426 |
@other | 1877.1950190047412 | 111459.58765167253 | 0.016867916772726678 |
Price of the $SPT
This figure shows the price of $SPT for the last period:
$SPT Summarize Metrics
This table shows how much $HIVE was given by buy-requests, that where equal or higher than the sell order vs. sell-requests, that were equal or lower than the buy order.
If the buy-requests where higher than the sell-requests, then money comes into the system and the value of the token increases.
Under the total line one can see the sum of $HIVE and sum of $SPT that changed the ownership and the average price of $SPT for the last period.
The average price of the token in the picture is wrong, actually it was: 0.017 $HIVE/$SPT
Todays value of $SPT:
The price of $USD/$HIVE = 0.75310124 . The price of $HIVE/$SPT = 0.01899999 . The price of $USD/$SPT = .01430891
Disclaimer
All stats are without warranty.
They are taken from:
curl -XPOST -H "Content-type: application/json" -d '{ "jsonrpc": "2.0", "method": "find", "params": { "contract": "market", "table": "tradesHistory", "query": { "symbol": "SPT"}, "limit":1000, "offset": 0 }, "id": 1 }' 'https://api.hive-engine.com/rpc/contracts'
I have put them into logfiles and uploaded them to Kibana, from which I took the screenshots.
If you find errors, please tell me!
If you want me to continue the stats, give me some good upvotes ;-)
If you want to see other statistics (even from totaly other data), please contact me. I can create them weekly or monthly if I get some rewards for it.
For more details see here: How I Have Set Up Elasticsearch And Kibana On My Raspberry Pi To Monitor Token Activities and here: Do You Want To See Statistics Of Your Favorite HIVE Token? or on github.
Here are some more statistics from the tokens I observe: @achimmertens/posts?filter=stats
Regards, Achim Mertens